我在這裏是新的,我需要一個函數,我在計劃書寫的幫助。試圖得到一個計劃深度優先或廣度優先搜索柯里功能工作
基本上,它涉及一個搜索功能,可以用於廣度優先搜索或深度優先搜索。我想我得到了深度優先合併和廣度優先合併的工作。
但是,問題是修改主要搜索以作爲「currying函數」,以便在算法特定的合併過程(例如深度優先合併或寬度優先合併)傳入時作爲參數,搜索使用該特定類型的搜索。退貨
我有兩個文件。硬幣沒問題,但搜索需求固定。如何修改搜索功能以作爲咖喱版使用?
這是我的代碼如下。第一個用於search.ss。我作爲一個早期嘗試進行了搜索2,但它沒有奏效。我需要將搜索或搜索2作爲咖喱搜索,然後刪除其他搜索。我不確定,但我認爲合併和兩個搜索正在工作。
;;;
;;; SEARCH:
;;; -- Non-curried version of generic search algorithm
;;; -- Can be customized for depth-first and breadth-first search
;;; -- You must convert it to a curried version so that
;;; - the function accepts 1 algorithm specific parameter and returns a function
;;; - that accepts 3 problem-specific parameters and returns a function
;;; - that accepths 1 instance specific parameter and performs the search
;;; -- The 5 parameters are described below
;;;
;;; Input:
;;; merge-queue
;;; -- algorithm specific
;;; -- procedure that takes a list of new paths and a queue
;;; and returns a new queue
;;; extend
;;; -- problem-specific
;;; -- procedure that takes a state and a list of visited states,
;;; and returns a list of states that are reachable in one move
;;; from the given state
;;; goal?
;;; -- problem-specific
;;; -- predicate that takes a state and returns true if the
;;; state is a goal state, false otherwise
;;; print-path
;;; -- problem-specific
;;; -- procedure that takes a state and prints out a state nicely
;;; init-state
;;; -- problem instance-specific
;;; -- an initial state to start the search from
;;;
;;; OUTPUT:
;;; -- When succeeded, a path from the initial state to a goal state
;;; -- When failed, #f
;;;
;;Either this or search2 needs to be rewritten into a curried version
;;To accept either depth-first-merge or breadth-first merge as merge procedures into merge-queue
(define search
(lambda (merge-queue init-config extend goal? print-state)
(letrec
((helper
(lambda (queue)
(newline)
(for-each
(lambda (p) (print-path p print-state))
queue)
(cond ((null? queue) #f)
((goal? (caar queue))
(print-state (caar queue))
(newline)
(let ((ans (reverse (car queue))))
(for-each (lambda (x) (print-state x) (newline)) ans)
ans))
(else
(let ((successors (extend (caar queue))))
(print-state (caar queue)) (newline)
(cond ((null? successors)
(helper (cdr queue)))
(else
(for-each (lambda (x) (print-state x) (newline))
successors)
(helper
(merge-queue (cdr queue)
(extend-path successors (car queue))))))))))))
(helper
(list (list (config->state init-config))))))
(define search2
(lambda (merge-queue extend goal? print-path init-state)
(letrec
((search-helper
(lambda (queue visited)
(cond
((null? queue) #f)
((goal? (caar queue))
(begin
(print-path (car queue))
(car queue)))
(else
(let ((successors (extend (caar queue) visited)))
(cond
((null? successors)
(search-helper (cdr queue) visited))
(else
(let ((new-paths (extend-path successors (car queue))))
(search-helper
(merge-queue queue new-paths)
(cond
(merge-queue))
(append successors visited)))))))))))
(search-helper
(list (list init-state)) ; initial queue
(list init-state))))) ; initial visited
(define extend-path
(lambda (successors path)
(if (null? successors)
'()
(cons (cons (car successors) path)
(extend-path (cdr successors) path)))))
;; merge new extended paths to queue for depth first search
;; - uncomment and define your merge for depth first search
(define depth-first-merge
(lambda (queue paths)
(append! paths queue)))
;; merge new extended paths to queue for breadth first search
;; - uncomment and define your merge for breadth first search
(define breadth-first-merge
(lambda (queue paths)
(append! queue paths)))
;; customize the generic search for depth first search
;; - uncomment and define your depth-first-search in terms of your
;; curried version of search and depth-first-merge
;; Curry Methods are helpful to this.
(define depth-first-search (search depth-first-merge))
(lambda (extend goal? print-path)
(search (depth-first-merge extend goal? print-path))))
;; customize the generic search for breadth first search
;; - uncomment and define your breadth-first-search in terms of your
;; curried version of search and breadth-first-merge
(define breadth-first-search (search breadth-first-merge))
(lambda (extend goal? print-path)
(search (breadth-first-merge extend goal? print-path))))
而這是用於恭維搜索代碼的Coins文件代碼。他們在單獨的文件中,並加載search.ss(上面的)來工作。
;; load algorithm specific code for search
(load "search.ss")
;;; Problem specific code for solving the old British coin problems
;;; using the curried version of the simple search procedure.
;;; The old British coin problem was discussed in the lecture.
;;;
;;; To solve the problem, load this file and run
;;; (coin-depth-first amount)
;;; or
;;; (coin-breadth-first amount)
;;; where, amount is replaced with some number, e.g., 48.
;;;
;;; Here, a state is represented as follows:
;;; (amount (coin1 coin2 ...))
;;;
;;; The car of the state represents how much change you need to pay further.
;;; The cadr of the state represents the combination of coins you used
;;; to pay so far. For example,
;;; (48())
;;; is the initial state for the amount of 48 cents and
;;; (0 (24 24)
;;; can be one of the goal states using two 24-cent coins.
;; There are 7 kinds of old British coins
(define old-british-coins '(120 30 24 12 6 3 1))
;; Or, you can do the same for US coins
(define us-coins '(100 50 25 10 5 1))
;; Here, we will do the old British coins
(define *coins* old-british-coins)
;; Is a state the goal state?
(define goal?
(lambda (state)
(zero? (car state))))
;; returns children of a state
(define extend
(lambda (state visited)
(let ((coins (applicable-coins state visited *coins*)))
(map
(lambda (coin)
(list (- (car state) coin)
(append (cadr state) (list coin))))
coins))))
;; find all applicable coins from a state
(define applicable-coins
(lambda (state visited coins)
(cond
((null? coins) '())
((<= (car coins) (car state))
(if (visited? state visited (car coins))
(applicable-coins state visited (cdr coins))
(cons (car coins) (applicable-coins state visited (cdr coins)))))
(else (applicable-coins state visited (cdr coins))))))
;; see if a state has been visited before
(define visited?
(lambda (state visited coin)
(cond
((null? visited) #f)
((= (- (car state) coin) (caar visited)) #t)
(else (visited? state (cdr visited) coin)))))
;; pretty-print a state
(define pretty-print-path
(lambda (path)
(pretty-print-state (car path))))
(define pretty-print-state
(lambda (state)
(let ((change (car state))
(coins (cadr state))
(total (apply + (cadr state))))
(printf
"===> Total of ~a paid with ~a, with remainder of ~a <===~%"
total coins change))))
;; customize the generic depth-first-search for coin problem
(define coin-depth-first-search
(depth-first-search extend goal? pretty-print-path))
;; instance of a coin problem using depth-first search
(define coin-depth-first
(lambda (amount)
(coin-depth-first-search (list amount '()))))
;; customize the generic breadth-first-search for coin problem
(define coin-breadth-first-search
(breadth-first-search extend goal? pretty-print-path))
;; instance of a coin problem with breadth-first search
(define coin-breadth-first
(lambda (amount)
(coin-breadth-first-search (list amount '()))))
有人可以幫我嗎?我想我需要做的就是找出如何讓搜索或search2代碼變成一個咖喱版。
好吧,現在我固定的,但現在它說當我嘗試它,「異常,可變印刷路徑不綁定,每當我試試吧。 – Hexi
您在打印狀態中的功能和打印路徑處於狀態。檢查您是否始終使用相同的名稱。 – Renzo